2025 A Python Toolbox for Representational Similarity Analysis Jasper JF van den Bosch Tal Golan Benjamin Peters JohnMark Taylor Mahdiyar Shahbazi Baihan Lin Ian Charest Joern Diedrichsen Nikolaus Kriegeskorte Marieke Mur Heiko Schütt Transformer brain encoders explain human high-level visual responses Hossein Adeli Minni Sun Nikolaus Kriegeskorte Collective inference of the truth of propositions from crowd probability judgments Patrick Stinson Jasper van den Bosch Trenton Jerde Nikolaus Kriegeskorte Generative adversarial collaborations: a new model of scientific discourse Benjamin Peters Gunnar Blohm Ralf Haefner Leyla Isik Nikolaus Kriegeskorte Jennifer S. Lieberman Carlos R. Ponce Gemma Roig Megan A.K. Peters 2024 When do measured representational distances reflect the neural representational geometry? Veronica Bossio Botero Nikolaus Kriegeskorte The Topology and Geometry of Neural Representations Baihan Lin Nikolaus Kriegeskorte Emergence of brain-like mirror-symmetric viewpoint tuning in convolutional neural networks Amirhossein Farzmahdi Wilbert Zarco Winrich Freiwald Nikolaus Kriegeskorte Tal Golan Source Invariance and Probabilistic Transfer: A Testable Theory of Probabilistic Neural Representations Samuel Lippl Raphael Gerraty John Morrison Nikolaus Kriegeskorte Can neural networks benefit from objectives that encourage iterative convergent computations? A case study of ResNets and object classification Samuel Lippl Benjamin Peters Nikolaus Kriegeskorte How does the primate brain combine generative and discriminative computations in vision? Benjamin Peters James J. DiCarlo Todd Gureckis Ralf Haefner Leyla Isik Joshua Tenenbaum Talia Konkle Thomas Naselaris Kimberly Stachenfeld Zenna Tavares Doris Tsao Ilker Yildirim Nikolaus Kriegeskorte Distinct fronto-temporal substrates of distributional and taxonomic similarity among words: evidence from RSA of BOLD signals Francesca Carota Hamed Nili Friedemann Pulvermüller Nikolaus Kriegeskorte 2023 Testing the limits of natural language models for predicting human language judgements Tal Golan Matthew Siegelman Nikolaus Kriegeskorte Christopher Baldassano Extracting and visualizing hidden activations and computational graphs of PyTorch models with TorchLens JohnMark Taylor Nikolaus Kriegeskorte Statistical inference on representational geometries Heiko H Schütt Alexander D Kipnis Jörn Diedrichsen Nikolaus Kriegeskorte Predicting brain activity using Transformers Hossein Adeli Minni Sun Nikolaus Kriegeskorte Affinity-based Attention in Self-supervised Transformers Predicts Dynamics of Object Grouping in Humans Hossein Adeli Seoyoung Ahn Nikolaus Kriegeskorte Gregory Zelinsky The neuroconnectionist research programme Adrien Doerig Rowan Sommers Katja Seeliger Blake Richards Jenann Ismael Grace Lindsay Konrad Kording Talia Konkle Marcel van Gerven Nikolaus Kriegeskorte Tim Kietzmann TorchLens: A Python package for extracting and visualizing hidden activations of PyTorch models JohnMark Taylor Nikolaus Kriegeskorte Deep neural networks and visuo-semantic models explain complementary components of human ventral-stream representational dynamics Kamila Jozwik Tim Kietzmann Radoslaw Cichy Nikolaus Kriegeskorte Marieke Mur 2022 Distinguishing representational geometries with controversial stimuli: Bayesian experimental design and its application to face dissimilarity judgments Tal Golan Wenxuan Guo Heiko H Schütt Nikolaus Kriegeskorte Disentangling five dimensions of animacy in human brain and behaviour Kamila Jozwik Elias Najarro Jasper van den Bosch Ian Charest Radoslaw Cichy Nikolaus Kriegeskorte Face dissimilarity judgements are predicted by representational distance in morphable and image-computable models Kamila Jozwik Jonathan O'Keeffe Katherine Storrs Wenxuan Guo Tal Golan Nikolaus Kriegeskorte 2021 Statistical inference on representational geometries Heiko Schütt Alexander Kipnis Jörn Diedrichsen Nikolaus Kriegeskorte Capturing the objects of vision with neural networks Benjamin Peters Nikolaus Kriegeskorte Neural tuning and representational geometry Nikolaus Kriegeskorte Xuexin Wei Comparing representational geometries using whitened unbiased-distance-matrix similarity Jörn Diedrichsen Eva Berlot Marieke Mur Heiko Schütt Mahdiyar Shahbazi Nikolaus Kriegeskorte Diverse Deep Neural Networks All Predict Human IT Well, After Training and Fitting Katherine Storrs Tim Kietzmann Alexander Walther Johannes Mehrer Nikolaus Kriegeskorte Visualizing the geometry of labeled high-dimensional data with spheres Andrew Zaharia Anish Potnis Alexander Walther Nikolaus Kriegeskorte Promises and challenges of human computational ethology Dean Mobbs Toby Wise Nanthia Suthana Noah Guzman Nikolaus Kriegeskorte Joel Leibo Viewing ambiguous social interactions increases functional connectivity between frontal and temporal nodes of the social brain Matthew Ainsworth Jérôme Sallet Olivier Joly Diana Kyriazis Nikolaus Kriegeskorte John Duncan Urs Schüffelgen Matthew Rushworth Andrew Bell Featured Publication edit publication {{ name }} . . . 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A Python Toolbox for Representational Similarity Analysis Jasper JF van den Bosch Tal Golan Benjamin Peters JohnMark Taylor Mahdiyar Shahbazi Baihan Lin Ian Charest Joern Diedrichsen Nikolaus Kriegeskorte Marieke Mur Heiko Schütt
Transformer brain encoders explain human high-level visual responses Hossein Adeli Minni Sun Nikolaus Kriegeskorte
Collective inference of the truth of propositions from crowd probability judgments Patrick Stinson Jasper van den Bosch Trenton Jerde Nikolaus Kriegeskorte
Generative adversarial collaborations: a new model of scientific discourse Benjamin Peters Gunnar Blohm Ralf Haefner Leyla Isik Nikolaus Kriegeskorte Jennifer S. Lieberman Carlos R. Ponce Gemma Roig Megan A.K. Peters
When do measured representational distances reflect the neural representational geometry? Veronica Bossio Botero Nikolaus Kriegeskorte
Emergence of brain-like mirror-symmetric viewpoint tuning in convolutional neural networks Amirhossein Farzmahdi Wilbert Zarco Winrich Freiwald Nikolaus Kriegeskorte Tal Golan
Source Invariance and Probabilistic Transfer: A Testable Theory of Probabilistic Neural Representations Samuel Lippl Raphael Gerraty John Morrison Nikolaus Kriegeskorte
Can neural networks benefit from objectives that encourage iterative convergent computations? A case study of ResNets and object classification Samuel Lippl Benjamin Peters Nikolaus Kriegeskorte
How does the primate brain combine generative and discriminative computations in vision? Benjamin Peters James J. DiCarlo Todd Gureckis Ralf Haefner Leyla Isik Joshua Tenenbaum Talia Konkle Thomas Naselaris Kimberly Stachenfeld Zenna Tavares Doris Tsao Ilker Yildirim Nikolaus Kriegeskorte
Distinct fronto-temporal substrates of distributional and taxonomic similarity among words: evidence from RSA of BOLD signals Francesca Carota Hamed Nili Friedemann Pulvermüller Nikolaus Kriegeskorte
Testing the limits of natural language models for predicting human language judgements Tal Golan Matthew Siegelman Nikolaus Kriegeskorte Christopher Baldassano
Extracting and visualizing hidden activations and computational graphs of PyTorch models with TorchLens JohnMark Taylor Nikolaus Kriegeskorte
Statistical inference on representational geometries Heiko H Schütt Alexander D Kipnis Jörn Diedrichsen Nikolaus Kriegeskorte
Affinity-based Attention in Self-supervised Transformers Predicts Dynamics of Object Grouping in Humans Hossein Adeli Seoyoung Ahn Nikolaus Kriegeskorte Gregory Zelinsky
The neuroconnectionist research programme Adrien Doerig Rowan Sommers Katja Seeliger Blake Richards Jenann Ismael Grace Lindsay Konrad Kording Talia Konkle Marcel van Gerven Nikolaus Kriegeskorte Tim Kietzmann
TorchLens: A Python package for extracting and visualizing hidden activations of PyTorch models JohnMark Taylor Nikolaus Kriegeskorte
Deep neural networks and visuo-semantic models explain complementary components of human ventral-stream representational dynamics Kamila Jozwik Tim Kietzmann Radoslaw Cichy Nikolaus Kriegeskorte Marieke Mur
Distinguishing representational geometries with controversial stimuli: Bayesian experimental design and its application to face dissimilarity judgments Tal Golan Wenxuan Guo Heiko H Schütt Nikolaus Kriegeskorte
Disentangling five dimensions of animacy in human brain and behaviour Kamila Jozwik Elias Najarro Jasper van den Bosch Ian Charest Radoslaw Cichy Nikolaus Kriegeskorte
Face dissimilarity judgements are predicted by representational distance in morphable and image-computable models Kamila Jozwik Jonathan O'Keeffe Katherine Storrs Wenxuan Guo Tal Golan Nikolaus Kriegeskorte
Statistical inference on representational geometries Heiko Schütt Alexander Kipnis Jörn Diedrichsen Nikolaus Kriegeskorte
Comparing representational geometries using whitened unbiased-distance-matrix similarity Jörn Diedrichsen Eva Berlot Marieke Mur Heiko Schütt Mahdiyar Shahbazi Nikolaus Kriegeskorte
Diverse Deep Neural Networks All Predict Human IT Well, After Training and Fitting Katherine Storrs Tim Kietzmann Alexander Walther Johannes Mehrer Nikolaus Kriegeskorte
Visualizing the geometry of labeled high-dimensional data with spheres Andrew Zaharia Anish Potnis Alexander Walther Nikolaus Kriegeskorte
Promises and challenges of human computational ethology Dean Mobbs Toby Wise Nanthia Suthana Noah Guzman Nikolaus Kriegeskorte Joel Leibo
Viewing ambiguous social interactions increases functional connectivity between frontal and temporal nodes of the social brain Matthew Ainsworth Jérôme Sallet Olivier Joly Diana Kyriazis Nikolaus Kriegeskorte John Duncan Urs Schüffelgen Matthew Rushworth Andrew Bell
